Baseline linguistic aspect is modeled with word2vec. The system has been trained with the toolkit GENSIM [1]}, using private data owned by Allo-Media composed of manual call transcriptions received by call centers, totaling over 4.5 million words. The embedding size has been set to 40 due to preliminary works dealing with feature fusion.
